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Usage Statistics for E-Resources –  Is all that data meaningful? Justin Clarke ER&L Conference Feb 1, 2010
Headaches of Harvesting Timing – many reports are delayed Administrative costs  e-journals, e-books, databases Differing formats - .csv, .txt., .xls .csv report .txt .xls
SUSHI Standardized Usage Statistics Harvesting Initiative Gathering data should be easier with more automation ANSI/NISO Z39.93 Protocol  (details at www.niso.org) Still a bunch of numbers – need more information! 1  8  7  0  2 3  9  12  6  18 5  32  25  19 6  4  19  43  5
Acquisitions Data That’s right, use your vendor(s) Rich data – fund, PO, LC classification, historical pricing Reliable information concerning mergers/splits/publisher changes
Menaces of Merging Publisher changes Title changes Duplication Match point? Import and export Flexibility is key
“ Cost Per Use” Report Price divided by use Title combinations and supplements More information needed, such as how one title relates to another Vendor shouldn’t impose philosophy
Attentive Analysis High use Professor assigns article to entire class Hackers and hoarders Low use: Nobel prize winning faculty publications New department support
Attentive Analysis Reference points of cost Multi-year analysis Subject-based analysis GOAL: Useful Statistics!
Application Renewal Decisions Budget considerations Make or break the “deal” Institution and consortia-wide
THANK YOU! Justin Clarke Regional Sales Manager [email_address] www.harrassowitz.de

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Usage Statistics for E-Resources: Is All That Data Meaningful? - Justin Clarke

  • 1. Usage Statistics for E-Resources – Is all that data meaningful? Justin Clarke ER&L Conference Feb 1, 2010
  • 2. Headaches of Harvesting Timing – many reports are delayed Administrative costs e-journals, e-books, databases Differing formats - .csv, .txt., .xls .csv report .txt .xls
  • 3. SUSHI Standardized Usage Statistics Harvesting Initiative Gathering data should be easier with more automation ANSI/NISO Z39.93 Protocol (details at www.niso.org) Still a bunch of numbers – need more information! 1 8 7 0 2 3 9 12 6 18 5 32 25 19 6 4 19 43 5
  • 4. Acquisitions Data That’s right, use your vendor(s) Rich data – fund, PO, LC classification, historical pricing Reliable information concerning mergers/splits/publisher changes
  • 5. Menaces of Merging Publisher changes Title changes Duplication Match point? Import and export Flexibility is key
  • 6. “ Cost Per Use” Report Price divided by use Title combinations and supplements More information needed, such as how one title relates to another Vendor shouldn’t impose philosophy
  • 7. Attentive Analysis High use Professor assigns article to entire class Hackers and hoarders Low use: Nobel prize winning faculty publications New department support
  • 8. Attentive Analysis Reference points of cost Multi-year analysis Subject-based analysis GOAL: Useful Statistics!
  • 9. Application Renewal Decisions Budget considerations Make or break the “deal” Institution and consortia-wide
  • 10. THANK YOU! Justin Clarke Regional Sales Manager [email_address] www.harrassowitz.de